chore: fix tests

Author: victoria-routon

tests/test_binning_piecewise.py

@@ -196,11 +196,11 @@ def test_bounds_transform():
 
     x_transform_woe = optb.transform(x, metric="woe")
     assert x_transform_woe[:4] == approx(
-        [3.99180564, 4.28245092, 4.17407503, -3.2565373], rel=1e-6)
+        [3.99180564, 4.28245092, 4.17407503, -3.2565373], rel=1e-5)
 
     x_transform_event_rate = optb.transform(x, metric="event_rate")
     assert x_transform_event_rate[:4] == approx(
-        [0.03015878, 0.02272502, 0.02526056, 0.97763604], rel=1e-6)
+        [0.03015878, 0.02272502, 0.02526056, 0.97763604], rel=1e-5)
 
 
 def test_bounds_fit_transform():
@@ -210,11 +210,11 @@ def test_bounds_fit_transform():
         x, y, lb=0.001, ub=0.999, metric="woe")
 
     assert x_transform_woe[:4] == approx(
-        [3.9918056, 4.2824509, 4.17407503, -3.25653732], rel=1e-6)
+        [3.9918056, 4.2824509, 4.17407503, -3.25653732], rel=1e-5)
     x_transform_event_rate = optb.fit_transform(
         x, y, lb=0.001, ub=0.999, metric="event_rate")
     assert x_transform_event_rate[:4] == approx(
-        [0.03015878, 0.02272502, 0.02526056, 0.97763604], rel=1e-6)
+        [0.03015878, 0.02272502, 0.02526056, 0.97763604], rel=1e-5)
 
 
 def test_solvers():

tests/test_continuous_binning_piecewise.py

@@ -49,7 +49,7 @@ def test_fit_transform():
 
 def test_special_codes():
     variable = "INDUS"
-    x = df[variable].values
+    x = df[variable].values.copy()
 
     x[:50] = -9
     x[50:100] = -8

tests/test_scorecard.py

@@ -470,10 +470,11 @@ def test_missing_metrics():
              np.array([0]*90 + [1]*10)
              )
          ),
-         'var': [np.nan] * 100 + ['A'] * 100}
+         'var': pd.array([np.nan] * 100 + ['A'] * 100, dtype=object)}
     )
 
-    binning_process = BinningProcess(['var'])
+    binning_process = BinningProcess(['var'],
+                                      categorical_variables=['var'])
     scaling_method_params = {'min': 0, 'max': 100}
 
     scorecard = Scorecard(